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Qubes OS 4.0 has been released!

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OS

This release delivers on the features we promised in our announcement of Qubes 4.0-rc1, with some course corrections along the way, such as the switch from HVM to PVH for most VMs in response to Meltdown and Spectre. For more details, please see the full Release Notes. The Qubes 4.0 installation image is available on the Downloads page, along with the complete Installation Guide.

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System76 Adds Nvidia Titan V GPU Support to Its Ubuntu-Based Pop!_OS Linux OS

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OS
Ubuntu

The company is currently working hard on Pop!_OS Linux 18.04, a release that's based on Canonical's upcoming Ubuntu 18.04 LTS (Bionic Beaver) operating system and built around the GNOME desktop environment. One essential feature of the next Pop!_OS Linux release appears to be support for Nvidia's Titan V GPUs.

"We now have support for the NVIDIA Titan V, one of the most powerful GPUs on the market today! One of the value adds we do as a company is the ability to quickly incorporate support for new hardware. It’s available in our latest ISO if you want to check it out," said System76 in their latest blog announcement.

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Latest on webOS

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OS
Linux
OSS

LG releases webOS Open Source Edition, looks to expand webOS usage

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OS
OSS

LG’s smart TVs ship with an operating system called webOS, which is the latest version of an operating system that was developed by Palm to run on phones, acquired by HP to use with tablets, and eventually sold to LG, which is still using it today.

But now LG wants to expand the adoption of webOS and the company is working with the South Korean government to solicit business proposals from other companies interested in using webOS.

LG has also released a webOS Open Source Edition version of the operating system.

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Don't want Microsoft forcing Edge on you? Switch from Windows 10 to Linux with Zorin OS 12.3!

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OS
Linux

I am sick and tired of technology companies like Microsoft thinking they can impose their will on consumers. Just today, the company made a startling announcement -- it will now force links from the Windows Mail app to open in its own Edge web browser. In other words, whether you like it or not, even if Edge isn't your default browser, it will still be used for opening links from emails. This is unacceptable, and when combined with all of the other Windows 10 calamities, users should consider switching operating systems immediately.

Since macOS requires you to buy an entirely new computer from Apple, a Linux-based operating system is probably your best bet. By using Linux, you can finally reclaim your computer as your own -- not Microsoft's. Today, version 12.3 of Zorin OS is released, and it is the perfect OS to replace Windows 10. Hell, it can even run Windows programs (including Microsoft Office) with the help of the pre-installed and pre-configured Wine 3.

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Updated Oracle Roadmap Points To Post-11.4 Solaris Release Around 2020

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OS

Oracle published a SPARC and Solaris road-map updated for March 2018.

By now you should know about Solaris 11.4 that is currently in public beta.

But their March 2018 road-map update now indicates a "Solaris11.Next" for H2'2018 or H1'2020. Note that it's a "11.Next" and no mention of Solaris 12. It's still not clear if a Solaris 12 will happen given all the rumors following the mass layoffs at Oracle over the past number of months, but at least for now it's looking like it might be a Solaris 11.5 release around the end of next year or in early 2020.

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Meet Endless OS, a lightweight Linux distro

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OS

I'm always on the lookout for open source software that works well in educational settings. Recently I decided to check out Endless OS, a lightweight, Linux-based operating system with a customized desktop environment forked from GNOME 3.

The operating system was developed by Endless Computer to power its inexpensive computers for developing countries where widespread internet availability isn't a given. In 2016, Endless made the OS available for anyone to use, rather than only on its hardware.

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elementary OS Juno Is All About Beauty, Will Offer an Enhanced User Experience

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OS

Last month, we reported that elementary OS Juno would sport a new versioning scheme, which means that it will be versioned 5.0 instead of 0.5 as many users might have expected, and will be based on Canonical's upcoming Ubuntu 18.04 LTS (Bionic Beaver) operating system.

And now, we're finally getting a sneak peek at elementary OS Juno's new features, which include animated system panel indicators, new installer and Initial Setup wizard, updated default apps, nearly full HiDPI support, and the long-anticipated Night Light feature so you won't have eye strain.

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Next Tails Anonymous OS Release Will Be Powered by Linux Kernel 4.15, Tor 3.2.9

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OS
Linux

Tails 3.6 recently entered development, and a first release candidate image is now ready for public testing, suggesting the upcoming release will be the first to be powered by the latest Linux 4.15 kernel and ship with the most recent TOR 3.2.9 client/server technologies for accessing the dark web.

The upcoming Tails OS release is also the first to ship with screen locking support, which apparently can be used even without the root (system administrator) password. Also, there are several upgraded components included, starting with the tails-additional-softwares package, which no longer blocks the desktop.

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Exton|OS Claims to Be First Distribution Based on Ubuntu 18.04 LTS, Linux 4.16

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OS
Ubuntu

Tagged as Build 180301, the new Exton|OS release is based on Ubuntu 18.04 LTS and features the lightweight and modern Budgie desktop environment created by the Solus devs. Budgie 10.4 is on-board this release, which comes with the renowned Calamares universal installer framework by default.

According to the developer, Exton|OS is now fully compatible with the software repositories of Ubuntu 18.04 LTS, which means that users can install any upstream package they need. Also, Arne Exton claims Exton|OS would be the first GNU/Linux distro to be based on Ubuntu 18.04 LTS (Bionic Beaver), due for release on April 26, 2018.

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Red Hat News/Leftovers

Cloudgizer: An introduction to a new open source web development tool

Cloudgizer is a free open source tool for building web applications. It combines the ease of scripting languages with the performance of C, helping manage the development effort and run-time resources for cloud applications. Cloudgizer works on Red Hat/CentOS Linux with the Apache web server and MariaDB database. It is licensed under Apache License version 2. Read more

James Bottomley on Linux, Containers, and the Leading Edge

It’s no secret that Linux is basically the operating system of containers, and containers are the future of the cloud, says James Bottomley, Distinguished Engineer at IBM Research and Linux kernel developer. Bottomley, who can often be seen at open source events in his signature bow tie, is focused these days on security systems like the Trusted Platform Module and the fundamentals of container technology. Read more

TransmogrifAI From Salesforce

  • Salesforce plans to open-source the technology behind its Einstein machine-learning services
    Salesforce is open-sourcing the method it has developed for using machine-learning techniques at scale — without mixing valuable customer data — in hopes other companies struggling with data science problems can benefit from its work. The company plans to announce Thursday that TransmogrifAI, which is a key part of the Einstein machine-learning services that it believes are the future of its flagship Sales Cloud and related services, will be available for anyone to use in their software-as-a-service applications. Consisting of less than 10 lines of code written on top of the widely used Apache Spark open-source project, it is the result of years of work on training machine-learning models to predict customer behavior without dumping all of that data into a common training ground, said Shubha Nabar, senior director of data science for Salesforce Einstein.
  • Salesforce open-sources TransmogrifAI, the machine learning library that powers Einstein
    Machine learning models — artificial intelligence (AI) that identifies relationships among hundreds, thousands, or even millions of data points — are rarely easy to architect. Data scientists spend weeks and months not only preprocessing the data on which the models are to be trained, but extracting useful features (i.e., the data types) from that data, narrowing down algorithms, and ultimately building (or attempting to build) a system that performs well not just within the confines of a lab, but in the real world.